False Recall Research Articles

An embedded computational framework of memory: Accounting for the influence of semantic information in verbal short-term memory

We introduce the Embedded Computational Framework of Memory (eCFM), a model that integrates structured semantic word representations with an instance-based memory model to account for the influence of semantic information in verbal short-term memory. The eCFM combines principles from the episodic MINERVA 2 model and the semantic Latent Semantic Analysis model. After reviewing how semantic information impacts verbal short-term memory performance, we demonstrate eCFM’s ability to reconcile various phenomena within a common computational framework. Our model captures key findings, such as the influence of semantic information in serial recall, its reduction in serial reconstruction, and the impact of task difficulty on semantic information. In five experiments, we tested predictions derived from the eCFM. Experiments 1 and 2 manipulated list organization, with Experiment 1 using alternating lists of related or unrelated words and Experiment 2 using blocked lists. Experiment 3 varied presentation rates, Experiment 4 revisited the detrimental effect of semantic information on order information, and Experiment 5 explored false recall. We found that semantic information interacts with list composition, presentation rate affects the magnitude of its influence, and semantic information impacts order information contrary to the dominant view. Additionally, increasing the number of related study words to a non-studied semantic lure boosts false recall. The eCFM captured these findings as well as memory at the item level. Our demonstration provides insight into the cognitive mechanisms underlying verbal short-term memory and the interplay of semantic and episodic memory processes in recall.

Examining the time course of post collaborative benefits across word lists and prose passages.

In the current study, we investigated how long the effects of one single collaboration session continue to influence individual memory. Participants learned categorized word lists and prose passages individually, and then they were instructed to recall learned materials either collaboratively or individually. Following initial recall, participants completed an individual recall test after a delay of 5min, 48h, or 1week. On the initial recall test, we found that collaboration reduced recall of correct items on both word lists and prose passages (collaborative inhibition), and that collaboration reduced false recall on both word lists and prose passages (error correction). However, on the subsequent individual memory test after a delay, the pattern of post collaborative effects differed across veridical and false recall. For both word lists and prose passages, post collaborative benefits on correct recall lasted 1week. However, there were no lasting effects of error correction on subsequent false recall. These results suggest that the time course of post collaborative benefits can be long lasting, but they are selective to veridical recall. The results are explained by theories of reexposure and error correction.

False recall is associated with larger caudate in males but not in females

ABSTRACT After learning semantically related words, some people are more likely than others to incorrectly recall unstudied but semantically related lures (i.e., Deese-Roediger-McDermott [DRM] false recall). Previous studies have suggested that neural activity in subcortical regions (e.g., the caudate) is involved in false memory, and that there may be sex differences in the neural basis of false memory. However, sex-specific associations between subcortical volumes and false memory are not well understood. This study investigated whether sex modulates the associations between subcortical volumes and DRM false recall in 400 healthy college students. Volumes of subcortical regions including the caudate, accumbens, amygdala, hippocampus, pallidum, putamen and thalamus were obtained from structural magnetic resonance images and measured using FreeSurfer. The results showed that males had lower true and false recall but larger subcortical volumes than females. Interestingly, higher false recall was associated with a larger caudate in males, but not in females. This association was significant after controlling for age and intracranial volume. This study provides new evidence on the neural basis of false recall. It suggests that the caudate plays a role in false recall in young men, and that future studies of the neural correlates of false memory should consider sex differences.

Social evaluative stress enhances central detail memory, reduces false memory, and results in intrusive memories that last for days

Few studies have quantified what an individual remembers about a laboratory-controlled stressor. Here, we aimed to replicate previous work by using a modified version of the Trier Social Stress Test (TSST) to quantify participant memory for a stressful experience. We also aimed to extend this work by quantifying false and intrusive memories that ensued. One hundred and seven participants were exposed to the TSST (stress) or the friendly TSST (f-TSST; no stress). The TSST required participants to deliver a ten-minute speech in front of two laboratory panel members as part of a mock job interview; the f-TSST required participants to casually converse with the panel members about their interests. In both conditions, the panel members interacted with (central) or did not interact with (peripheral) several objects sitting on a desk in front of them. The next day, participants’ memory for the objects was assessed with recall and recognition tests. We also quantified participants’ intrusive memories on Days 2, 4, 6, and 8. Stressed participants recalled more central objects and exhibited greater recognition memory, particularly for central objects, than controls. Stress also led to less false recall and more intrusive memories on Days 2 and 4. Consistent with previous work, these findings suggest that participants exhibit enhanced memory for the central details of a stressful experience; they also extend prior work by showing that participants exposed to a stressor have less false memories and experience intrusive memories for several days following the event. The modified TSST paradigm used here may be useful for researchers studying not only what participants remember about a stressful event but also their susceptibility to intrusive memory formation.

False memories for ending of events.

Memories are not perfect recordings of the past and can be subject to systematic biases. Memory distortions are often caused by our experience of what typically happens in a given situation. However, it is unclear whether memory for events is biased by the knowledge that events usually have a predictable structure (a beginning, middle, and an end). Using video clips of everyday situations, we tested how interrupting events at unexpected time points affects memory of how those events ended. In four free recall experiments (1, 2, 4, and 5), we found that interrupting clips just before a salient piece of action was completed, resulted in the false recall of details about how the clip might have ended. We refer to this as "event extension." On the other hand, interrupting clips just after one scene had ended and a new scene started, resulted in omissions of details about the true ending of the clip (Experiments 4 and 5). We found that these effects were present, albeit attenuated, when testing memory shortly after watching the video clips compared to a week later (Experiments 5a and 5b). The event extension effect was not present when memory was tested with a recognition paradigm (Experiment 3). Overall, we conclude that when people watch videos that violate their expectations of typical event structure, they show a bias to later recall the videos as if they had ended at a predictable event boundary, exhibiting event extension or the omission of details depending on where the original video was interrupted. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

From association to gist: Some critical tests.

We report the first evidence that the gist mechanism of fuzzy-trace theory and the associative mechanism of activation monitoring theory operate in parallel, in the recall version of the Deese/Roediger/McDermott illusion. In three experiments, we implemented a new methodology that allows their respective empirical indexes, gist strength (GS) and backward associative strength (BAS), to each be manipulated while the other is held constant. In Experiment 1, increasing GS increased false recall of missing words, but increasing BAS did not. In Experiments 2 and 3, however, increasing GS and increasing BAS both increased recall of missing words, and those effects were independent and additive. In all three experiments, GS and BAS affected true recall of list words in qualitatively different ways: (a) Increasing GS always improved true recall, regardless of whether BAS was high or low, but (b) increasing BAS impaired true recall when GS was high and improved true recall when GS was low. To pinpoint the retrieval loci of the two variables' effects, we analyzed the data of all experiments with the dual-retrieval model. Those analyses showed that the variables' respective effects were due to different retrieval processes. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Andrew Mayes’ expert analysis of a case of memory distortion

In this single-case study of memory distortion where Andrew Mayes was involved as an expert witness, a surgeon falsely recalled aspects of a patient safety adverse event in which he was involved, and where he was put through an investigatory process by a regulatory body. Andrew Mayes’ expert analysis of the role of memory distortion in this case resulted in the surgeon being exonerated.

Hippocampal activity predicts contextual misattribution of false memories

Failure of contextual retrieval can lead to false recall, wherein people retrieve an item or experience that occurred in a different context or did not occur at all. Whereas the hippocampus is thought to play a crucial role in memory retrieval, we lack understanding of how the hippocampus supports retrieval of items related to a target context while disregarding related but irrelevant information. Using direct electrical recordings from the human hippocampus, we investigate the neural process underlying contextual misattribution of false memories. In two large datasets, we characterize key physiological differences between correct and false recalls that emerge immediately prior to vocalization. By differentiating between false recalls that share high or low contextual similarity with the target context, we show that low-frequency activity (6 to 18 Hz) in the hippocampus tracks similarity between the current and retrieved context. Applying multivariate decoding methods, we were able to reliably predict the contextual source of the to-be-recalled item. Our findings elucidate one of the hallmark features of episodic memory: our ability to distinguish between memories that were formed on different occasions.

False Memory Facilitation Through Semantic Overlap.

This study investigated the effects of semantic overlap from multiple sources on false memories. Participants were presented with paired study lists comprising items highly associated with one nonstudied critical item. There were three types of list pairs: (1) the sharing condition, in which the words in both lists were classified into different semantic groups that converged on the same critical word (semantic overlap), (2) the repetition condition, in which the two lists comprised identical words, and (3) the single condition, in which the paired lists were attributed to different semantic groups that did not share a critical item. In Experiment 1, participants were presented with the paired study lists and responded to free recall tests and a recognition test including remember-know judgments. In Experiment 2, the participants responded to a recognition test, and the participants in Experiment 3 recalled the studied items. The results indicated that the false recall and false recognition rates in the sharing condition were higher than those in the repetition and single conditions. These results suggest that activation from multiple independent sources may have an accumulative additive effect. The findings are discussed in relation to the Activation-Monitoring theory.

Positive and negative effects of collaboration on suggestibility and false memory in online groups

Previous studies demonstrated the positive and negative effects of collaboration on memory (both veridical and false recall) and suggestibility in face-to-face contexts. However, it remains unclear whether the same results can be observed in a virtual context. To clarify this issue, the present study examined the performance of 10 nominal triads and 10 collaborative triads in a fully online setting. Participants interacted live, in videoconference and were tested with the Gudjonsson Suggestibility Scale (GSS) and the Deese/Roediger-McDermott (DRM) task. For the GSS, the results replicated the in-person pattern of results, with collaborative triads showing the standard inhibition effect in the immediate and delayed (after 24 h) recall tasks; in addition, collaborative triads were less suggestible than nominal triads. For the DRM, we likewise found that collaboration decreased the recall and recognition of both studied items (the standard inhibitory effect) and critical lures (the error-pruning effect). We therefore conclude that remembering in a virtual context exhibits the same general properties as its in-person counterpart, at least when using a videoconference setting.

False memories formation after a retention period spent asleep or awake in individuals with insomnia and good sleepers: a polysomnographic study.

False memories are a possible by-product of sleep-related memory consolidation processes when delayed testing is performed after a retention interval spent asleep. To date, the effect of a retention period spent asleep or awake on false memories formation has been addressed only in healthy subjects, while neglecting sleep-disordered populations. In the present study, we investigated this effect in 17 insomniacs and 15 good sleepers through the Deese-Roediger-McDermott paradigm. In both groups, the encoding phase was followed by an 8-h retention period spent in polysomnography monitored sleep (S-condition) or wake (WK-condition). We observed that, at free recall, insomniacs produced more false recalls in the WK-condition compared to the S-condition, whereas the good sleepers showed more false recalls in S-condition than in the WK-condition. Moreover, false recalls were higher in good sleepers than in insomniacs in the S-condition. Both groups produced more veridical recalls in the S-condition than in the WK-condition. For recognition, hits (correctly recognised words) were more numerous in the S-condition than in the WK-condition. Our results confirm previous data on sleep-related false memories production in good sleepers. Additionally, they show that, in insomniacs, false memories production is reduced after a sleep relative to remaining awake. These data suggest that false memories formation, reflecting adaptive memory reshaping processes going on during sleep, could occur at awakening as long as the sleep episode is efficient enough. A notable methodological issue was also identified, in that the Deese-Roediger-McDermott paradigm can be useful to investigate sleep-dependent memory processes for false memories only when a more cognitively demanding task is employed (i.e., free-recall instead of recognition tasks).

Does collaboration help or hurt recall? The answer depends on working memory capacity.

Collaborative inhibition (reduced recall in collaborative vs. nominal groups) is a robust phenomenon. However, it is possible that not everyone is as susceptible to collaborative inhibition, such as those higher in working memory capacity (WMC). In the current study, we examined the relationship between WMC and collaborative inhibition. Participants completed three shortened span tasks (automated operation span, automated reading span, symmetry span). They then viewed categorized word lists individually and then recalled the word lists alone or with a partner (Test 1), followed by an individual recall (Test 2). For correct recall, collaborative inhibition was greater among lower WMC individuals, and they showed no post collaborative benefits. Only higher WMC individuals benefited from prior collaboration. For false recall, higher WMC individuals had less false recall on Tests 1 and 2, and collaboration reduced errors on Test 1 for both lower- and higher WMC individuals. There were no lasting effects of collaboration on Test 2 errors. Furthermore, partner WMC appeared to influence recall, although this tentative finding is based on a smaller sample size. Specifically, on Test 2, participants had less false recall when their partner was higher in WMC and greater correct recall when both they and their partner were higher in WMC. We conclude that collaboration is relatively more harmful for lower WMC individuals and more beneficial for higher WMC individuals. These results inform theories of collaborative inhibition by identifying attentional control and WMC as mechanisms that moderate the magnitude of the effect. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Constructive episodic retrieval processes underlying memory distortion contribute to creative thinking and everyday problem solving.

Constructive episodic retrieval processes play an adaptive role in supporting divergent thinking (i.e., creatively combining diverse bits of information) and means-end problem solving (i.e., generating steps to solve a social problem). However, the constructive nature of episodic memory that supports these adaptive functions also leads to memory error. In three experiments we aimed to identify a direct link between divergent thinking and means-end problem solving - as assessed in the Alternative Uses Task (AUT) and Means-End Problem Solving (MEPS) task - with the generation of false memories in the Deese-Roediger-McDermott paradigm. In Experiment 1, we replicated prior findings where false memory was positively correlated with performance on the AUT, and also showed for the first time that increased performance in the MEPS task is associated with increased false recall. In Experiment 2,we demonstrated that the link between false recall and performance on the MEPS task did not extend to other forms of problem solving, as assessed with the Everyday Descriptions Task (EDT). In Experiment 3,we showed that when the EDT was preceded by the MEPS task in an attempt to influence participants to engage in a similar episodic-problem solving strategy, performance in both tasks was correlated with false memory. These findings provide evidence for a direct link between the adaptive benefits of constructive episodic processes, in the form of enhanced divergent creative thinking and problem solving, and costs, in the form of increased memory error.

False recalls, but not false recognitions, at the DRM paradigm are increased in subjects reporting insomnia symptoms: An online study

BackgroundIn insomnia, poor sleep is accompanied by several cognitive impairments affecting prefrontal functioning that could affect source-monitoring processes and contribute to false memories production. By using a modified version of the Deese-Roediger-McDermott paradigm (DRM), we previously found that individuals suffering from insomnia produced more false memories than good sleepers adopting a free-recall task, especially for sleep-related stimuli. However, whether poor sleep affects false memory production in a task-dependent manner (i.e., free recall or recognition) remains unclear. MethodsThrough an online research method, we adopted the classical DRM paradigm to investigate the production of false recalls and false recognitions in 32 subjects referring insomnia symptoms (IN group) and 37 good sleepers (GS group), addressing also executive functioning and source monitoring ability in both groups. ResultsCompared to the GS group, the IN group produced more false memories (p = .002) and intrusions (p = .004) at the free recall task and showed a lower working memory index (p = .008). No between-groups differences emerged at the recognition task. Correlational analysis revealed significant associations between DRM performance, executive functioning and source monitoring (SM) variables. Moreover, false recalls were predicted by being in the presence of insomnia symptoms (p = .012) and intrusions by the number of correct responses to the Stroop task (p = .051) and SM task (p = .015), as well as by the presence of insomnia symptoms (p = .003). ConclusionsOur data show that the presence of insomnia symptoms can influence false memories production. Furthermore, the evidence that free recall is more affected than recognition suggests that poor sleep mainly affects performance at more cognitively demanding tasks. Finally, correlational and regression analyses support the hypothesis of a link between false memories production and both the presence of insomnia symptoms and executive functioning impairments.

ABOS: an attention-based one-stage framework for person search

Person search is of great significance to public safety research, such as crime surveillance, video surveillance and security. Person search is a method of locating and identifying the queried person from a complete set of images. The main cause of false recall and missed detection in person search is the presence of person occlusion in the images. In order to improve the accuracy of person search when the person to be queried is occluded, this paper proposes an attention-based one-stage framework for person search (ABOS) using an anchor-free model as a baseline. The method uses the channel attention module to express different forms of occlusion and take full advantage of the spatial attention module to highlight the target region of the occluded pedestrians. These attention modules integrate deep and shallow features to guide the network to pay attention to the visible area of the occluded target and extract the semantic information of the pedestrians. Experimental results on CUHK-SYSU and PRW datasets show that the proposed person search method based on attention mechanism in this paper has better performance than existing methods, achieving 93.7% of mAP on CUHK-SYSU dataset and 46.4% of mAP on PRW dataset, respectively.

Scene Uyghur Text Detection Based on Fine-Grained Feature Representation.

Scene text detection task aims to precisely localize text in natural environments. At present, the application scenarios of text detection topics have gradually shifted from plain document text to more complex natural scenarios. Objects with similar texture and text morphology in the complex background noise of natural scene images are prone to false recall and difficult to detect multi-scale texts, a multi-directional scene Uyghur text detection model based on fine-grained feature representation and spatial feature fusion is proposed, and feature extraction and feature fusion are improved to enhance the network’s ability to represent multi-scale features. In this method, the multiple groups of 3 × 3 convolutional feature groups that are connected like the hierarchical residual to build a residual network for feature extraction, which captures the feature details and increases the receptive field of the network to adapt to multi-scale text and long glued dimensional font detection and suppress false positives of text-like objects. Secondly, an adaptive multi-level feature map fusion strategy is adopted to overcome the inconsistency of information in multi-scale feature map fusion. The proposed model achieves 93.94% and 84.92% F-measure on the self-built Uyghur dataset and the ICDAR2015 dataset, respectively, which improves the accuracy of Uyghur text detection and suppresses false positives.

Aircraft Detection in Remote Sensing Imagery Based on Improved YOLOv4

Abstract A method is provided to resolve the issues of false recognition and lower recall of the you only look once version 4 (YOLOv4) algorithm in the aircraft targets prediction of remote sensing imagery. The method is based on the YOLOv4. According to the characteristics of small size and intensive arrangement of aircraft targets in remote sensing images, the backbone is mended to boost the prediction capacity of smaller targets. To strengthen the transmission and reuse of network features, the connection mode of the residual module in YOLOv4 is changed to the dense connection mode, and the five residual blocks in the backbone network are modified to the corresponding dense connection blocks to reduce the network layers and model redundancy. The experiment results reveal that compared with the YOLOv4, our method can enlarge targets features in smaller image regions, thereby availably increasing the prediction precision of aircraft targets.

Abstract P2-10-05: The estimated impact of COVID-19 on population breast cancer screening outcomes, and options for risk-based recovery

Abstract OBJECTIVES AND RATIONALE Estimating the impact of COVID-19 on cancer screening programs and related outcomes can help health services prepare for potential delays in diagnoses and different demands on treatment services and plan for best approaches to recovery. Simulation modelling enables estimation of outcomes for a range of scenarios. In this study, we estimate the impact of various disruptions and recovery strategies for the Australian biennial mammographic breast screening program (BreastScreen). METHOD Policy1-Breast is a continuous-time, multiple-cohort micro-simulation model that simulates the whole Australian female population, incorporating breast cancer risk and natural history, breast density, menopause, hormone therapy use and breast cancer screening. Firstly, in the early stages of the COVID pandemic we used Policy1-Breast to evaluate how 3, 6, 9 and 12-month pauses to BreastScreen would impact on population-level breast cancer diagnoses, tumour staging, and breast cancer survival, compared to business-as-usual (BAU) outcomes. Secondly, to explore options for recovery after an actual one-month screening pause in April 2020, we evaluated a range of assumed throughput levels following screening resumption (50% or 80% up to December, then 100% to 120% from Jan 2021), comparing various protocols where specific sub-groups of clients were prioritised for screening during the recovery period. Outcomes are reported for the target age range for the BreastScreen program (50-74 years). RESULTS For 3- to 12-month pauses, we estimated a slight reduction in 5-year survival following diagnosis for women directly affected by a pause, but no discernible changes to population-level breast cancer mortality rates up to 2023. We estimated marked fluctuations in population rates of invasive breast cancer diagnoses with a 10% increase in cancer diagnoses between 2020-2021 and 2022-2023. For a 12-month pause to screening we estimate that population-level breast cancers would increase in size (with an additional 4% >15mm at diagnosis) and be more likely to involve the nodes (increasing from 26% to 30% of all cancers). We estimate that median screening intervals during 2020-2021 would increase from 104 weeks under BAU up to 130 weeks with a 12-month pause, and BreastScreen recall rates and false positive recall rates would fluctuate markedly over time. For the second evaluation of a one-month pause followed by various throughput and prioritisation scenarios, we estimated that screen-detected cancer rates would vary markedly with throughput but interval cancer rates would not, leading to fluctuations in program sensitivity of up to 6%. Reflecting the periodic nature of screening participation, we estimated the extent to which longer-term future screening participation rates are expected echo the peaks and troughs in participation due to the impacts of the COVID pandemic in 2020. We estimate that for a given throughput assumption, client prioritisation could lead to different rescreening rates, screening intervals, and time required for prioritisation protocols, with little change to cancer outcomes. CONCLUSION These modelled evaluations estimate short and longer-term effects of COVID-19 on the impact of population breast cancer screening in Australia. The estimated changes in breast cancer rates and characteristics would be expected to have a flow-on effect on the demand for treatment services in terms of throughput and case-mix. Preparing for such outcomes is critical given that treatment services are also directly impacted by the pandemic. The modelled outcomes are likely to be relevant to other high-income settings with established population breast cancer screening programs. Citation Format: Pietro Procopio, Sabine Deij, Louiza S Velentzis, Amanda Tattam, Lara Petelin, Carolyn Nickson. The estimated impact of COVID-19 on population breast cancer screening outcomes, and options for risk-based recovery [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P2-10-05.

Convolutional Neural Networks Based Classifier for Diabetic Retinopathy

Diabetic Retinopathy (DR) is a consequence of diabetes which causes damage to the retinal blood vessel networks. In most diabetics, this is a major vision-threatening problem. Color fundus pictures are used to diagnose DR, which requires competent doctors to determine lesions presence. The job of detecting DR in an automated manner is difficult. In terms of automated illness identification, feature extraction is quite useful. In the current setting, Convolutional Neural Networks (CNN) outperforms prior handcrafted feature-based image classification approaches in terms of image classification efficiency. This paper introduces CNN structure for extracting characteristics from retinal fundus pictures in order to develop the accuracy of classification. This proposed method, the output features of CNN are employed as input to many classifiers of machine learning. Using images from the MESSIDOR datasets, this method is tested under Random Tree, Hoeffiding Tree and Random Forest classifiers. Accuracy, False Positive Rate (FPR), Precision, Recall, F-1 score, specificity and Kappa-score for used classifiers are compared to find out the efficiency of the classifier. For the MESSIDOR datasets, the suggested feature extraction approach combined with the Random forest classifier surpasses all other classifiers which gains 88% and 0.7288 of average accuracy and Kappa-score (k-score) respectively.

How rich are false memories in a naturalistic context in healthy aging?

ABSTRACT The recall of factual and contextual information is a core characteristic of episodic memory sensitive to aging effects. The innovative aim of the present study was to assess in a naturalistic context the quantity and quality of correct and false free recalls among younger and older adults considering feature binding (What-Where-When-Details) and recollection (Remembering vs. Knowing). Thanks to virtual reality, we designed a multimodal environment simulating a lively town in which we implemented a variant of a DRM task rich in sets of semantically related items (e.g., fruits on a market stall). We asked 30 young and 30 older participants to navigate in the virtual environment, paying attention to the items, and then recall as many items and as much contextual information as possible and indicate the presence of recollection. As expected, older adults produced fewer correct recall but more intrusions than younger adults, and their correct recall was more deficient in binding and recollection. In both age groups, false recall was associated with the correct context inferred from a related set of items. However, the intrusions produced by older adults were highly recollected compared to those of the younger adults, and they were associated with false item-related contextual information.